- Only the image?
- The figure file for the image?
- The data that was used to create the image?
How can I get the 3 minimum values of this plot?
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How can I get the number of neurons on which I get the smallest RMSE for Training, Validation and Test set.
for i = 1:60
net = feedforwardnet(i);
net.trainParam.epochs = 300;
[net, tr] = train(net, input, output, 'useparallel', 'yes');
pnet_train = net(input(:,tr.trainInd)); % prediction
tnet_train = output(:,tr.trainInd); % target
rmse_train(i) = sqrt(mean((pnet_train - tnet_train).^2));
pnet_vali = net(input(:,tr.valInd)); % prediction
tnet_vali = output(:,tr.valInd); % target
rmse_vali(i) = sqrt(mean((pnet_vali - tnet_vali).^2));
pnet_test = net(input(:,tr.testInd)); % prediction
tnet_test = output(:,tr.testInd); % target
rmse_test(i) = sqrt(mean((pnet_test - tnet_test).^2));
end
figure;
plot(1:60,rmse_train,'LineWidth',2)
hold on;
plot(1:60,rmse_vali,'LineWidth',2)
hold on;
plot(1:60,rmse_test,'LineWidth',2)
title('Performance');
legend('Training','Validation','Test');
xlabel('Neurons');
ylabel('RMSE');
axis auto;
grid on;
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the cyclist
2022년 11월 6일
편집: the cyclist
2022년 11월 6일
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